Effect of SNR Estimation in Defocus Blurred Image Restoration

Feng Qing Qin

doi:10.4028/www.scientific.net/AMM.239-240.1113

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 239-240Effect of SNR Estimation in Defocus Blurred Image...

Effect of SNR Estimation in Defocus Blurred Image Restoration

Abstract:

A blind image restoration method is proposed to improve the quality of the image blurred by camera defocus and system noise. Firstly, the focus point spread function (PSF) of the blurred image is estimated through error-parameter analysis method. Secondly, the Signal-to-Noise Ratio (SNR) of the blurred image is estimated through local deviation method. Thirdly, utilizing the estimated defocus PSF and SNR, image restoration is performed through Wiener filtering method, in which circulation boundary method is adopted to reduce ringing effect. Experimental results show that the SNR of the blurred image is estimated approximately, and verify the great effect of SNR estimation in blind image restoration.

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Periodical:

Applied Mechanics and Materials (Volumes 239-240)

Pages:

1113-1117

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.239-240.1113

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Online since:

December 2012

Authors:

Feng Qing Qin

Keywords:

Blind Image Restoration, Defocus Blur, Point Spread Function, SNR Estimation, Wiener Filtering

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